Skill UI

This skill reconstructs the detailed workflow behind a specific coding artifact (like a feature or PR). By analyzing local `ax` agent traces, it connects commits, sessions, skills, and tool calls into a concise, evidence-grounded narrative. It is used when needing to understand the step-by-step process and key decisions that led to a result.

Before You Build acts as a crucial checkpoint in the AI coding workflow. It prevents premature implementation by rigorously assessing product risk—analyzing market demand, existing user workflows, switching costs, and distribution channels. Instead of writing code, it guides the user to define core assumptions and propose the smallest, most effective validation test (e.g., landing page test, user interview) before committing resources.

This skill provides comprehensive patterns and techniques for analyzing compiled binaries and understanding assembly code. It covers x86-64, ARM, and calling conventions, helping users reconstruct program logic. Use it for reverse engineering tasks, security analysis, and debugging low-level code.

This skill enables authorized reverse engineering of Chrome and Firefox browser extensions. It involves analyzing manifest files, background workers, and content scripts to investigate credential handling, data exposure, and malicious behavior. Suitable for security audits, supply chain poisoning investigations, and understanding extension logic through static and dynamic analysis using tools like DevTools and Frida.

This skill helps identify technical debt in software projects by analyzing code and change history. It estimates impact, prioritizes improvements, and creates actionable remediation plans. Focuses on code quality, architecture, testing, and infrastructure issues to reduce maintenance costs and improve development velocity.

This skill helps identify technical debt within software codebases by analyzing code and change history. It estimates the impact of debt items and prioritizes improvements based on ROI. Users can generate actionable remediation plans, assess risks, and track metrics like code complexity and test coverage to maintain software quality and development velocity.

This skill helps write or revise marketing copy by applying psychological mechanisms to create desire and drive action. It focuses on audience awareness, motivations, and credible proof to overcome generic messaging. Use it for ads, landing pages, or sales messages that need stronger emotional and behavioral triggers. It involves analyzing the target human's psychographic profile and using evidence-based frameworks to engineer belief and action.

This skill helps you reduce cloud infrastructure expenses while maintaining performance and reliability. It involves analyzing cloud spending, identifying savings opportunities, and implementing cost-effective architectures across AWS, Azure, and GCP. Focus on rightsizing instances, managing budgets, and eliminating waste.

Understand, reduce, and recover from developer churn by identifying at-risk users, analyzing why developers leave, and planning ethical win-back and retention campaigns.

This skill creates comprehensive technical documentation from existing codebases by analyzing architecture, design patterns, and implementation details. It produces long-form technical manuals and ebooks that explain system boundaries, key components, and interactions. The output includes design rationale, data models, and deployment considerations, suitable for onboarding new team members, architectural reviews, and long-term maintenance of complex software systems.

Reverse JavaScript-based custom DSL/VM interpreters and risk-control engines. Identify IIFE/switch-based opcode dispatch, extract opcode tables, and capture runtime semantics. Suitable for analyzing protected web assets and bytecode interpreters.

This skill specializes in debugging distributed systems and analyzing production incidents. It helps identify root causes of errors using observability tools, structured logging, and distributed tracing. You will implement fixes, establish preventive measures, and improve system reliability. Suitable for investigating recurring errors and designing error handling improvements.